Senior Machine Learning Operations Engineer at Mercury
Confirmed open
Build a production ML platform for fraud-risk decisions, including low-latency inference, model registry, versioning and deployment pipelines. Monitor deployed models and make them reliable without shifting operational work to data scientists. The posting lists San Francisco, New York, Portland, or remote work within Canada or the United States.
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Mercury- Location
- Remote
- Advertised region
- San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States
- Work arrangement
- remote
- Technologies
- Python, TypeScript, React, SQL
Role overview
Build a production ML platform for fraud-risk decisions, including low-latency inference, model registry, versioning and deployment pipelines. Monitor deployed models and make them reliable without shifting operational work to data scientists. The posting lists San Francisco, New York, Portland, or remote work within Canada or the United States.
How to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-10-05
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